Instructors: Paul Penfield, Seth Lloyd

This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics.

See the complete course at: http://ocw.mit.edu/6-050js08

Album art image courtesy of the U.S. National Library of Medicine.


This movie is part of the collection: MIT OpenCourseWare

Producer: MIT OpenCourseWare
Audio/Visual: sound, color
Language: English
Keywords: information and entropy; computing; communications; thermodynamics; digital signals and streams; codes; compression; noise; probability; reversible operations; irreversible operations; information in biological systems; channel capacity; maximum-entropy formalism; thermodynamic equilibrium; temperature; second law of thermodynamics quantum computation

Creative Commons license: Attribution-Noncommercial-Share Alike 3.0

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